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Jingjing Hu

6 papers hereh-index 6110 citations13 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author3

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG2
same name
  • Jingjing Hu — 6 papers, h 3
  • Jingjing Hu — 3 papers, h 1
  • Jingjing Hu — 2 papers, h 2
  • Jingjing Hu — 1 paper
  • Jingjing Hu — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedTowards Open-Vocabulary Audio-Visual Event Localization

2 citations · 5 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

See the Emotion: A Facial Emoji Proxy Modeling for EEG Emotion Recognition

Jingjing Hu, Guo Dan, Haofan Cheng +4

Despite the high accuracy of EEG-based emotion recognition, existing models remain opaque "black boxes", lacking semantic grounding between abstract neural features and human-inter…

cs.CV2026

Face-Guided Sentiment Boundary Enhancement for Weakly-Supervised Temporal Sentiment Localization

Cailing Han, Zhangbin Li, Jinxing Zhou +5

Point-level weakly-supervised temporal sentiment localization (P-WTSL) aims to detect sentiment-relevant segments in untrimmed multimodal videos using timestamp sentiment annotatio…

cs.CV2024★ 2 cited

Towards Open-Vocabulary Audio-Visual Event Localization

Jinxing Zhou, Dan Guo, Ruohao Guo +5

The Audio-Visual Event Localization (AVEL) task aims to temporally locate and classify video events that are both audible and visible. Most research in this field assumes a closed-…

cs.CV2024★ 1 cited

Unified Static and Dynamic Network: Efficient Temporal Filtering for Video Grounding

Jingjing Hu, Dan Guo, Kun Li +4

Inspired by the activity-silent and persistent activity mechanisms in human visual perception biology, we design a Unified Static and Dynamic Network (UniSDNet), to learn the seman…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.